TY - GEN
T1 - Early feasibility of an embedded bi-directional brain-computer interface for ambulation
AU - Lim, Jeffrey
AU - Wang, Po T.
AU - Sohn, Won Joon
AU - Serrano-Amenos, Claudia
AU - Ibrahim, Mina
AU - Lin, Derrick
AU - Thaploo, Shravan
AU - Shaw, Susan J.
AU - Armacost, Michelle
AU - Gong, Hui
AU - Lee, Brian
AU - Lee, Darrin
AU - Andersen, Richard A.
AU - Heydari, Payam
AU - Liu, Charles Y.
AU - Nenadic, Zoran
AU - Do, An H.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury. The accompanying loss of sensory and motor functions often results in reliance on wheelchairs, which in turn causes reduced quality of life and increased risk of co-morbidities. While brain-computer interfaces (BCIs) for ambulation have shown promise in restoring or replacing lower extremity motor functions, none so far have simultaneously implemented sensory feedback functions. Additionally, many existing BCIs for ambulation rely on bulky external hardware that make them ill-suited for non-research set-tings. Here, we present an embedded bi-directional BCI (BDBCI), that restores motor function by enabling neural control over a robotic gait exoskeleton (RGE) and delivers sensory feedback via direct cortical electrical stimulation (DCES) in response to RGE leg swing. A first demonstration with this system was performed with a single subject implanted with electrocorticography electrodes, achieving an average lag-optimized cross-correlation of 0.80±0.08 between cues and decoded states over 5 runs.
AB - Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury. The accompanying loss of sensory and motor functions often results in reliance on wheelchairs, which in turn causes reduced quality of life and increased risk of co-morbidities. While brain-computer interfaces (BCIs) for ambulation have shown promise in restoring or replacing lower extremity motor functions, none so far have simultaneously implemented sensory feedback functions. Additionally, many existing BCIs for ambulation rely on bulky external hardware that make them ill-suited for non-research set-tings. Here, we present an embedded bi-directional BCI (BDBCI), that restores motor function by enabling neural control over a robotic gait exoskeleton (RGE) and delivers sensory feedback via direct cortical electrical stimulation (DCES) in response to RGE leg swing. A first demonstration with this system was performed with a single subject implanted with electrocorticography electrodes, achieving an average lag-optimized cross-correlation of 0.80±0.08 between cues and decoded states over 5 runs.
KW - bi-directional brain-computer interface
KW - brain-computer interface
KW - direct cortical electrical stimulation
KW - electrocorticography
KW - spinal cord injury
UR - http://www.scopus.com/inward/record.url?scp=85214999099&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85214999099&partnerID=8YFLogxK
U2 - 10.1109/EMBC53108.2024.10782271
DO - 10.1109/EMBC53108.2024.10782271
M3 - Conference contribution
C2 - 40039379
AN - SCOPUS:85214999099
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
BT - 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
Y2 - 15 July 2024 through 19 July 2024
ER -